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Inductive Bias

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/vgcq/sdd_vit

공식 코드

Sparse Double Descent in Vision Transformers: real or phantom threat?

https://github.com/viking-sudo-rm/norm-growth

공식 코드

Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent

https://github.com/vinairesearch/dimsum

공식 코드

DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation

https://github.com/vision4robotics/lpat

공식 코드

Local Perception-Aware Transformer for Aerial Tracking

https://github.com/visionml/pytracking

공식 코드

Transforming Model Prediction for Tracking

https://github.com/vita-group/dept

공식 코드

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

https://github.com/vkhoi/cora_cvpr24

공식 코드

Composing Object Relations and Attributes for Image-Text Matching

https://github.com/vthost/DAGNN

공식 코드

Directed Acyclic Graph Neural Networks

https://github.com/wangt-cn/eqinv

공식 코드

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

https://github.com/wanjiaZhao1203/TREAT

공식 코드

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling

https://github.com/wayveai/mile

공식 코드

Model-Based Imitation Learning for Urban Driving

https://github.com/wenchima/miti-detr

공식 코드

Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence

https://github.com/wengzejia1/semiformer

공식 코드

Semi-Supervised Vision Transformers

https://github.com/wenhuchen/HDSA-Dialog

공식 코드

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

https://github.com/wenyudu/migu

공식 코드

Unlocking Continual Learning Abilities in Language Models

https://github.com/wichmann-lab/trivial-or-impossible

공식 코드

Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)

https://github.com/wilburdoz/meta_learning_inductive_bias

공식 코드

Meta-Learning the Inductive Biases of Simple Neural Circuits

https://github.com/wqshao126/dtn

공식 코드

Dynamic Token Normalization Improves Vision Transformers

https://github.com/wtong98/mlp-icl

공식 코드

MLPs Learn In-Context on Regression and Classification Tasks

https://github.com/wuwushrek/physics_constrained_nn

공식 코드

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

https://github.com/wywywang/coachai-projects

공식 코드

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion

https://github.com/xanaduai/all-you-need-is-spin

공식 코드

All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks

https://github.com/xiaoqiwang/glintiqa

공식 코드

No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer

https://github.com/xiongbo010/qgcn

공식 코드

Pseudo-Riemannian Graph Convolutional Networks

https://github.com/xiusu/ViTAS

공식 코드

ViTAS: Vision Transformer Architecture Search

https://github.com/xliu1231/causal_disentangle

공식 코드

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

https://github.com/xrenaa/CS-DisMo

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Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

https://github.com/xrj-com/ns-rff

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A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication

https://github.com/xuanlinli17/corl_22_frame_mining

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Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds

https://github.com/xuchenhao001/hsvit

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HSViT: Horizontally Scalable Vision Transformer

https://github.com/xwhan/Extremely-Fine-Grained-Entity-Typing

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Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

https://github.com/yandachen/in-context-tuning

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Meta-learning via Language Model In-context Tuning

https://github.com/yangguobei/TCTN-pytorch

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PTCT: Patches with 3D-Temporal Convolutional Transformer Network for Precipitation Nowcasting

https://github.com/yangxuntu/SGAE

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Auto-Encoding Scene Graphs for Image Captioning

https://github.com/yannikkellerde/gnn_hex

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From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?

https://github.com/yanweiw/noise2ptz

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Visual Pre-training for Navigation: What Can We Learn from Noise?

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